The Machines Role in Educating Australians
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This document summarizes a presentation given by Open Colleges at the DataWorks Summit Sydney 2017 about using machine learning and data to improve education. It introduces the speakers and describes Open Colleges' goals of using data to enroll students in the most suitable courses and provide personalized support at scale. It also discusses challenges around student insights, engagement metrics, and Open Colleges' data-driven culture.
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The Machines Role in Educating Australians
- 1. DataWorks Summit Sydney 2017 The Machine’s Role in Educating Australians
- 6. About Us George Gemayel Chief Technology Officer, Open Colleges Background in software engineering Over 10 years working with all things Data George.Gemayel@opencolleges.edu.au Gnanaguru (Guru) Sattanathan Business Intelligence Analyst, Open Colleges Platform engineering fellow 7 years of building data pipelines Guru.Sattanathan@opencolleges.edu.au
- 7. About Open Colleges Providing life changing education for over 100 years. We offer over 130 flexible online courses that allow you to fit study around your lifestyle. • Over 55,000 students annually, enrolling every minute • Asynchronous learning, submitting assessments every minute • Completely online study, any device, anywhere • Over 800,000 Australians educated in total • 450 Staff (incl. techies, marketers, support staff, faculty) • Headquarters in Surry Hills, Sydney • Students anywhere and everywhere http://www.opencolleges.edu.au
- 9. First Challenge Enrolling the right student into the right course
- 11. Course diversity
- 12. Is this course right for me ? How this course will help me succeed ? Will I be able to study this course ? Will I find a job if I take up this course ? Is it worth studying ?
- 13. Student profile Interested courses Social analytics User persona Attributes …….
- 14. How do we enroll the right student in the right course ? How do we get them talk to the right enrolment consultant ?
- 15. Start building Machine learning models And they are organic
- 16. And how do these machine learning models evolve ?
- 17. The platform Connectivity & Ingestion Store Compute Models BI
- 18. Second Challenge Providing individual personalised support, at scale
- 19. Level of Student Insights: Good Anette Certificate III in Individual Support (Disability) Been in the sector for 6 years – Ladder climber
- 20. Measure Key Digital Interactions Logged in: Total session time: Onboarding: Support Centre /FAQ: Assessment downloads: Launched Quiz: Download/print PDF: Sent a message: Clicked on Study Buddy: Sub-topics: Module overview: 4 times 2.75 hours 5 views 2 1 10 downloads 1 session - incomplete 1 1 28 views 6 views
- 21. Level of Student Insights: Great
- 22. RPL Closing the loop Proactive Communications Schedule an Intervention Suggested Services Available To Staff You don’t need to ask, I already know!
- 23. So What Is It All Worth? Engagement in First 2 days 21% Abandon Rates 34% Academic Progression within 30 days 95%
- 24. Open Colleges Data Ethos Data is not a project, its part of our DNA
- 25. Tech, Platform & People big data tech stacks *aaS Providers In house engineering
- 26. Open Colleges Data Ethos Transparent Open to all Experience-led De-centralise Close to the business. Enable self-service Real-Time On demand, to humans and machines Indiscriminate Capture everything. Use what’s valuable Strategic Vendor agnostic. Platform over projects
- 27. DataWorks Summit Sydney 2017 Thank You